{"title":"An Efficient DOA Estimation Method for FH Signals Based on MSST","authors":"Y. Liu, Rongchen Sun, K. Guo, Xin Zhang, M. Diao","doi":"10.1109/ICCET58756.2023.00025","DOIUrl":null,"url":null,"abstract":"In order to make full use of the spatial information of frequency-hopping (FH) signals to estimate the direction of arrival (DOA) of signals, an efficient DOA estimation algorithm based on multisynchrosqueezing transform (MSST) and nested array is proposed based on the spatial-time-frequency analysis of signals. In order to reduce the complexity of time-frequency analysis and processing of array element data, the nested array is used to receive data, and the MSST with both time-frequency resolution can be used for hop extraction to construct the spacetime-frequency matrix of frequency-hopping signal. After vectorizing the data, the redundancy and rearrangement operations are carried out to remove the redundant array element data, and then the Toeplitz matrix is constructed. DOA estimation is carried out by subspace class algorithm. The simulation results show that this method can improve the estimation accuracy and reduce the algorithm complexity compared with traditional space-time frequency processing algorithms.","PeriodicalId":170939,"journal":{"name":"2023 6th International Conference on Communication Engineering and Technology (ICCET)","volume":"209 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Communication Engineering and Technology (ICCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCET58756.2023.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to make full use of the spatial information of frequency-hopping (FH) signals to estimate the direction of arrival (DOA) of signals, an efficient DOA estimation algorithm based on multisynchrosqueezing transform (MSST) and nested array is proposed based on the spatial-time-frequency analysis of signals. In order to reduce the complexity of time-frequency analysis and processing of array element data, the nested array is used to receive data, and the MSST with both time-frequency resolution can be used for hop extraction to construct the spacetime-frequency matrix of frequency-hopping signal. After vectorizing the data, the redundancy and rearrangement operations are carried out to remove the redundant array element data, and then the Toeplitz matrix is constructed. DOA estimation is carried out by subspace class algorithm. The simulation results show that this method can improve the estimation accuracy and reduce the algorithm complexity compared with traditional space-time frequency processing algorithms.